- Abellán, J., & Castellano, J. G. (2017). A comparative study on base classifiers in ensemble methods for credit scoring. Expert Systems with Applications, 73(1), 1–10.
Paper not yet in RePEc: Add citation now
- Ala'raj, M., & Abbod, M. F. (2016). A new hybrid ensemble credit scoring model based on classifiers consensus system approach. Expert Systems with Applications, 64(1), 36–55.
Paper not yet in RePEc: Add citation now
- Alam, P., Booth, D., Lee, K., & Thordarson, T. (2000). The use of fuzzy clustering algorithm and selfâ€organizing neural networks for identifying potentially failing banks: an experimental study. Expert Systems with Applications, 18(3), 185–199.
Paper not yet in RePEc: Add citation now
- Aryuni, M., Madyatmadja, E. D., & Miranda, E. (2018). Customer segmentation in XYZ bank using Kâ€means and Kâ€medoids clustering. Proceedings of 2018 International Conference on Information Management and Technology (ICIMTech), 412–416.
Paper not yet in RePEc: Add citation now
Ayadi, R., & De Groen, W. P. (2015). Banking Business Models Monitor 2014: Europe. Brussels, Belgium/Montreal, QC, Canada: Center for European Policy Studies/IOFSC.
- Ayadi, R., Arbak, E., & De Groen, W. P. (2011). Business Models in European Banking: A Pre‑ and Postâ€Crisis Screening. Brussels, Belgium: Center for European Policy Studies.
Paper not yet in RePEc: Add citation now
Azadeh, A., Javanmardi, L., & Saberi, M. (2010). The impact of decisionâ€making units features on efficiency by integration of data envelopment analysis, artificial neural network, fuzzy câ€means and analysis of variance. International Journal of Operational Research, 7(3), 387–411.
- Back, B., Oosterom, G., Sere, K., & Van Wezel, M. (1995). Intelligent information systems within business bankruptcy predictions using neural networks. In 3rd European Conference on Information Systems, 1–3.
Paper not yet in RePEc: Add citation now
- Basel Committee on Banking Supervision. (2011). Basel III: A global regulatory framework for more resilient banks and banking systems. Basel Committee on Banking Supervision. June 2011, Basel.
Paper not yet in RePEc: Add citation now
Berger, A., Clarke, G., Cull, R., Klapper, L., & Udell, G. (2005). Corporate governance and bank performance: a joint analysis of the static, selection, and dynamic effects of domestic, foreign, and state ownership. Journal of Banking & Finance, 29(8), 2179–2221.
- Bezdek, J., Ehrlich, R., & Full, W. (1984). FCM: the fuzzy câ€means clustering algorithm. Computers & Geosciences, 10(2–3), 191–203.
Paper not yet in RePEc: Add citation now
Blundellâ€Wignall, A., Atkinson, P., & Roulet, C. (2014). Bank business models and the Basel system: complexity and interconnectedness. OECD Journal: Financial Market Trends, 2013(2), 43–68.
- Budayan, C., Dikmen, I., & Birgonul, M. T. (2011). Hybrid strategic groups in construction. Engineering Project Organization Journal, 1(3), 183–196.
Paper not yet in RePEc: Add citation now
- Caliński, T., & Harabasz, J. (1974). A dendrite method for cluster analysis. Communications in Statistics: Theory and Methods, 3(1), 1–27.
Paper not yet in RePEc: Add citation now
Cavelaars, P., & Passenier, J. (2012). Follow the money: what does the literature on banking tell prudential supervisors about bank business models? Journal of Financial Regulation and Compliance, 20(4), 402–416.
Caves, R. E., & Porter, M. E. (1977). From entry barriers to mobility barriers: Conjectural decisions and contrived deterrence to new competition. The Quarterly Journal of Economics, 91, 241–261.
- Cebeci, Z., Yildiz, F., Kavlak, A., Cebeci, C., & Onder, H. (2019). ppclust: probabilistic and possibilistic cluster analysis. R package version 0.1.2.
Paper not yet in RePEc: Add citation now
- Cernov, M., & Urbano, T. (2018). Identification of EU bank business models: a novel approach to classifying banks in the EU regulatory framework. EBA Staff Paper Series 2/2018. EBA: London.
Paper not yet in RePEc: Add citation now
- Chair, S., & Charrad, M. (2017). multisom: clustering a data set using multiâ€SOM algorithm. R package version 1.3.
Paper not yet in RePEc: Add citation now
- Chang, F., Qiu, W., Carey, V., Zamar, R., Lazarus, R., & Wang, X. (2019). clues: clustering method based on local. R package version 0.6.2.2.
Paper not yet in RePEc: Add citation now
Chiorazzo, V., D'Apice, V., DeYoung, R., & Morelli, P. (2018). Is the traditional banking model a survivor? Journal of Banking & Finance, 97, 238–256.
Curi, C., Lozanoâ€Vivas, A., & Zelenyuk, V. (2015). Foreign bank diversification and efficiency prior to and during the financial crisis: does one business model fit all? Journal of Banking & Finance, 61, S22–S35.
- Curry, B., Davies, F., Phillips, P., Evans, M., & Moutinho, L. (2001). The Kohonen selfâ€organizing map: an application to the study of strategic groups in the UK hotel industry. Expert Systems, 18(1), 19–31.
Paper not yet in RePEc: Add citation now
Davalos, S., Leng, F., Feroz, E. H., & Cao, Z. (2014). Designing an if–then rulesâ€based ensemble of heterogeneous bankruptcy classifiers: a genetic algorithm approach. Intelligent Systems in Accounting, Finance and Management, 21(3), 129–153.
- Davies, D. L., & Bouldin, D. W. (1979). A cluster separation measure. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2), 224–227.
Paper not yet in RePEc: Add citation now
- de Andrés, J., Lorca, P., De Cos Juez, F. J., & Sánchezâ€Lasheras, F. (2011). Bankruptcy forecasting: a hybrid approach using fuzzy câ€means clustering and multivariate adaptive regression splines (MARS). Expert Systems with Applications, 38(3), 1866–1875.
Paper not yet in RePEc: Add citation now
de Haan, L., & Kakes, J. (2019). European banks after the global financial crisis: peak accumulated losses, twin crises and business models. Journal of Banking Regulation. Advance online publication. https://doi.org/10.1057/s41261-019-00107-y.
de Haas, R., & Van Lelyveld, I. (2010). Internal capital markets and lending by multinational bank subsidiaries. Journal of Financial Intermediation, 19(1), 1–25.
- Deboeck, G. J. (1998). Financial applications of selfâ€organizing maps. Neural Network World, 8(2), 213–241.
Paper not yet in RePEc: Add citation now
Demirgüçâ€Kunt, A., & Huizinga, H. (2010). Bank activity and funding strategies: the impact on risk and returns. Journal of Financial Economics, 98, 626–650.
DeSarbo, W. S., & Grewal, R. (2008). Hybrid strategic groups. Strategic Management Journal, 29(3), 293–317.
- Desgraupes, B. (2016). clustercrit: clustering indices. R package version 1.2.7.
Paper not yet in RePEc: Add citation now
- DeYoung, R. (2010). Scale economies are a distraction. The Region, September 2010, 14–16.
Paper not yet in RePEc: Add citation now
Diamond, D. W. (1984). Financial intermediation and delegated monitoring. Review of Economic Studies, 51(3), 393–414.
Diamond, D. W., & Dybvig, P. H. (1983). Bank runs, deposit insurance, and liquidity. Journal of Political Economy, 91(3), 401–419.
- Dunn, J. C. (1974). Wellâ€separated clusters and optimal fuzzy partitions. Journal of Cybernetics, 4(1), 95–104.
Paper not yet in RePEc: Add citation now
Easterbrook, F. H. (1984). Two agencyâ€cost explanations of dividends. American Economic Review, 74(4), 650–659.
- EBA. (2013). EBA report on impact assessment for liquidity measures under Article 509(1) of the CRR. European Banking Authority: London, UK.
Paper not yet in RePEc: Add citation now
- EBA. (2014). Guidelines on common procedures and methodologies for the supervisory review and evaluation process. EBA/GL/2014/13. European Banking Authority: London, UK.
Paper not yet in RePEc: Add citation now
- EBA. (2015). EBA report on net stable funding requirements under Article 510 of the CRR. EBA/Op/2015/22. European Banking Authority: London, UK.
Paper not yet in RePEc: Add citation now
- EBA. (2016). EBA report on the leverage ratio requirements under Article 511 of the CRR. EBA/Op/2016/13. European Banking Authority. London, UK.
Paper not yet in RePEc: Add citation now
- ECB. (2018). SSM thematic review on profitability and business models: report on the outcome of the assessment. European Central Bank: Frankfurt, Germany.
Paper not yet in RePEc: Add citation now
Elsas, R., Hackethal, A., & Holzhäuser, M. (2010). The anatomy of bank diversification. Journal of Banking & Finance, 34(6), 1274–1287.
Galbraith, C., & Schendel, D. (1983). An empirical analysis of strategy types. Strategic Management Journal, 4(2), 153–173.
- Gates, A. J., Wood, I. B., Hetrick, W. P., & Ahn, Y. Y. (2019). Elementâ€centric clustering comparison unifies overlaps and hierarchy. Scientific Reports, 9(1), dash;1–13.
Paper not yet in RePEc: Add citation now
- Gelman, A., & Su, Y. (2018). arm: data analysis using regression and multilevel/hierarchical models. R package version 1.10‑11.
Paper not yet in RePEc: Add citation now
Gorton, G., & Metrick, A. (2012). Securitized banking and the run on repo. Journal of Financial Economics, 104(3), 425–451.
Hryckiewicz, A., & KozÅ‚owski, Å. (2017). Banking business models and the nature of financial crisis. Journal of International Money and Finance, 71, 1–24.
- Hsu, T.â€H. (2000). An application of fuzzy clustering in groupâ€positioning analysis. Proceedings of the National Science Council, Republic of China, 10(2), 157–167.
Paper not yet in RePEc: Add citation now
Huang, R., & Ratnovski, L. (2011). The dark side of bank wholesale funding. Journal of Financial Intermediation, 20(2), 248–263.
Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193–218.
Hunter, W. C., & Timme, S. G. (1986). Technical change, organizational form, and the structure of bank production. Journal of Money, Credit and Banking, 18(2), 152–166.
- Jaccard, P. (1901). Étude comparative de la distribution florale dans une portion des Alpes et du Jura. Bulletin de la Société Vaudoise des Sciences Naturelles, 37, 547–579.
Paper not yet in RePEc: Add citation now
- Jackman, S. (2017). pscl: Political Science Computational Laboratory. R package version 1.5.2.
Paper not yet in RePEc: Add citation now
- Jain, A. K. (2010). Data clustering: 50 years beyond Kâ€means. Pattern Recognition Letters, 31(8), 651–666.
Paper not yet in RePEc: Add citation now
- Köhler, M. (2015). Which banks are more risky? The impact of business models on bank stability. Journal of Financial Stability, 16, 195–212.
Paper not yet in RePEc: Add citation now
- Kaufman, L., & Rousseeuw, P. J. (1990). Finding Groups in Data: An Introduction to Cluster Analysis. Hoboken; NJ, USA: John Wiley & Sons, Inc.
Paper not yet in RePEc: Add citation now
- Kiviluoto, K., & Bergius, P. (1998). Twoâ€level selfâ€organizing maps for analysis of financial statements. In IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence, 1, 189â€192.
Paper not yet in RePEc: Add citation now
- Kohonen, T. (1997). Exploration of very large databases by selfâ€organizing maps. Proceedings of International Conference on Neural Networks, 1, PL1â€PL6.
Paper not yet in RePEc: Add citation now
- Kuncheva, L. (2004). Combining Pattern Classifiers: Methods and Algorithms. Hoboken, NJ, USA: John Wiley & Sons, Inc.
Paper not yet in RePEc: Add citation now
- Liberti, J. M., & Mian, A. R. (2008). Estimating the effect of hierarchies on information use. Review of Financial Studies, 22(10), 4057–4090.
Paper not yet in RePEc: Add citation now
- Liikanen, E. (2012). Reforming the structure of the EU banking sector. Report of the Highâ€Level Expert Group, chaired by Erkki Liikanen, European Commission: Brussels, Belgium.
Paper not yet in RePEc: Add citation now
- Liu, Y., Wang, X., & Zhai, D. (2010). Commercial banks exceptional client distinguish based on data mining. Proceedings of the 2010 International Forum on Information Technology and Applications, 1, 164â€166.
Paper not yet in RePEc: Add citation now
- MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 1(14), 281–297.
Paper not yet in RePEc: Add citation now
- Maechler, M. (2018). cluster: ‘finding groups in data’: cluster analysis extended Rousseeuw et al. R package version 2.0.7‑1.
Paper not yet in RePEc: Add citation now
- Marghescu, D., Sarlin, P., & Liu, S. (2010). Earlyâ€warning analysis for currency crises in emerging markets: a revisit with fuzzy clustering. Intelligent Systems in Accounting, Finance & Management, 17(3–4), 143–165.
Paper not yet in RePEc: Add citation now
MartÃnâ€Oliver, A., Ruano, S., & Salasâ€Fumás, V. (2017). The fall of Spanish cajas: lessons of ownership and governance for banks. Journal of Financial Stability, 33, 244–260.
- Martin, A., Gayathri, V., Saranya, G., Gayathri, P., & Venkatesan, P. (2011). A hybrid model for bankruptcy prediction using genetic algorithm, fuzzy câ€means and MARS. International Journal on Soft Computing, 2(1), 12–24.
Paper not yet in RePEc: Add citation now
Mergaerts, F., & Vander Vennet, R. (2016). Business models and bank performance: a longâ€term perspective. Journal of Financial Stability, 22, 57–75.
Miller, D. (1986). Configurations of strategy and structure: towards a synthesis. Strategic Management Journal, 7(3), 233–249.
- Milligan, G. W., & Cooper, M. C. (1986). A study of the comparability of external criteria for hierarchical cluster analysis. Multivariate Behavioral Research, 21(4), 441–458. https://doi.org/10.1207/s15327906mbr2104_5.
Paper not yet in RePEc: Add citation now
O'Hara, M., & Shaw, W. (1990). Deposit insurance and wealth effects: the value of being ‘too big to fail’. Journal of Finance, 45(5), 1587–1600.
- Onan, A. (2019). Consensus clusteringâ€based undersampling approach to imbalanced learning. Scientific Programming, 2019, 1–14.
Paper not yet in RePEc: Add citation now
- Popović, D., & BaÅ¡ić, B. (2009). Churn prediction model in retail banking using fuzzy câ€means algorithm. Informatica, 33(2), 243–248.
Paper not yet in RePEc: Add citation now
Porter, M. E. (1979). The structure within industries and companies' performance. Review of Economics and Statistics, 61(2), 214–227.
Rajan, R. G. (1992). Insiders and outsiders: the choice between informed and arm's length debt. The Journal of Finance, 47(4), 1367–1400.
- Rand, W. M. (1971). Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66(336), 846–850.
Paper not yet in RePEc: Add citation now
- Ravikumar, P., & Ravi, V. (2006). Bankruptcy prediction in banks by an ensemble classifier. Proceedings of the 2006 IEEE International Conference on Industrial Technology, 2032–2036.
Paper not yet in RePEc: Add citation now
Reger, R. K., & Huff, A. S. (1993). Strategic groups: a cognitive perspective. Strategic Management Journal, 14(2), 103–123.
Roengpitya, R., Tarashev, N. A., & Tsatsaronis, K. (2014). Bank business models. BIS Quarterly Review, 2014, 55–65.
Roengpitya, R., Tarashev, N., Tsatsaronis, K., & Villegas, A. (2017). Bank business models: popularity and performance. BIS Working Papers no. 682.
- Rousseeuw, P. J. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53–65.
Paper not yet in RePEc: Add citation now
- Sarlin, P. (2016). Visual macroprudential surveillance of banks. Intelligent Systems in Accounting, Finance and Management, 23(4), 257–264.
Paper not yet in RePEc: Add citation now
- Sarlin, P., & Marghescu, D. (2011). Visual predictions of currency crises using selfâ€organizing maps. Intelligent Systems in Accounting, Finance and Management, 18(1), 15–38.
Paper not yet in RePEc: Add citation now
- Serranoâ€Cinca, C. (1996). Self organizing neural networks for financial diagnosis. Decision Support Systems, 17(3), 227–238.
Paper not yet in RePEc: Add citation now
- Sharma, S. (1996). Applied Multivariate Techniques. New York: John Wiley & Sons.
Paper not yet in RePEc: Add citation now
Taylor, J. B., & Williams, J. C. (2009). A black swan in the money market. American Economic Journal: Macroeconomics, 1(1), 58–83.
van Ewijk, S., & Arnold, I. (2014). How bank business models drive interest margins: evidence from US bankâ€level data. The European Journal of Finance, 20(10), 850–873.
- Warnes, G. R., Bolker, B., Lumley, T., & Johnson, R. C. (2018). gmodels: various R programming tools for model fitting. R package version 2.18.1.
Paper not yet in RePEc: Add citation now
- Wickham, H., & Chang, W., (2019). ggplot2: create elegant data visualisations using the grammar of graphics. R package version 2. 2(1).
Paper not yet in RePEc: Add citation now
- Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
Paper not yet in RePEc: Add citation now
- Zúñigaâ€Vicente, J. Ã., & Vicenteâ€Lorente, J. D. (2006). Strategic moves and organizational survival in turbulent environments: the case of Spanish banks (1983–97). Journal of Management Studies, 43(3), 485–519.
Paper not yet in RePEc: Add citation now
- Zott, C., Amit, R., & Massa, L. (2011). The business model: recent developments and future research. Journal of Management, 37(4), 1019–1042.
Paper not yet in RePEc: Add citation now